fieldWISE

fieldWISE is an integrated agriculture platform equipped with a decision support system that leverages technologies like IoT, remote sensing and AI/ML. fieldWISE offers a comprehensive solution for climate-resilient agriculture.
Farms produce thousands of data points on the ground daily. With the help of fieldWISE, farm owners can now analyze a variety of things in realtime such as weather conditions, climatic risks, soil moisture, water usage, pests and diseases, crop health and soil condition.

Key Features

• Crop field boundary detection
• Crop classification
• Weather and smart sowing advisories
• Farm input management
• Crop health monitoring
• Soil health and moisture monitoring
• Irrigation planning and monitoring
• Pests & Disease alert
• Yield estimation
• Farm risk (crop loss) assessment

fieldWISE Impact Coverage:

• Pest and Disease Prediction: 800k hectares alerted for Pest/Disease. Prevented economic loss due to pink bollworm (cotton) & fall army worm (maize and jowar)
• Advisories raised for 10+ crops for 12k + Villages. Optimized sowing date for groundnut this improving yield.
  
• SHC Fertilizer Management for 18,000 Villages across 670 Mandals which resulted in 7.5% decrease in usage of fertilizers.

fieldWISE Technology stack:

• Remote sensing through high resolution satellite imagery
• AI/ML algorithms and models that analyze the collected data and provide farm-level insights on crop type, pest and disease alerts, climatic risks and soil health.
  
• GIS to visualize data and insights in geospatial form making the dashboards and insights more user friendly and easy to consume.
  
• Integrates with IoT sensors to monitor key parameters such as soil moisture, temperature, humidity, and crop growth.

Why fieldWISE?
fieldWISE is a lowcode/ no code platform that is customizable and scalable. It can also be deployed on any cloud database as well as a container solution.
The platform gives field users mobile capabilities for data collection, report consumption, and ground truthing. Deep learning algorithms analyze images to accurately identify crops, monitor growth, detect diseases, optimize yields, and enable precision agriculture for efficient resource use and sustainability.